Snowflake

NOVEMBER 1, 2023

For organizations to fully capitalize on this potential, it’s critical that everyone — not just those with AI expertise — is able to access and use generative AI. With just a single line of SQL or Python, analysts can instantly access specialized ML and LLM models tuned for specific tasks. See Document AI in action on YouTube.

Unstructured Data 109

Unstructured Data SQL Python Accessible 109

Snowflake

FEBRUARY 6, 2024

Diverse data provides a broader view and helps avoid the potential blinders traditional sources can perpetuate. To ensure your AI models are trained with as much data as possible, here are five best practices for greater data diversity: 1. Break down internal silos to access cross-functional sources.

Unstructured Data 106

Unstructured Data Retail Data Manufacturing 106

AltexSoft

OCTOBER 25, 2021

Its deep learning natural language processing algorithm is best in class for alleviating clinical documentation burnout, which is one of the main problems of healthcare technology. This allows machines to extract value even from unstructured data. Healthcare organizations generate a lot of text data. Source: Linguamatics.

Medical 52

Medical Healthcare Process Hospitality 52

Rockset

APRIL 18, 2023

In the demo, you’ll see how Rockset delivers search results in 15 milliseconds over thousands of documents. Organizations have continued to accumulate large quantities of unstructured data, ranging from text documents to multimedia content to machine and sensor data. Why use vector search?

Unstructured Data 105

Unstructured Data Metadata Machine Learning SQL 105

Data Engineering Weekly

OCTOBER 27, 2024

Astasia Myers: The three components of the unstructured data stack LLMs and vector databases significantly improved the ability to process and understand unstructured data. I never thought of PDF as a self-contained document database, but that seems a reality that we can’t deny. What are you waiting for?

Data Engineering 57

Data Engineering Data Engineer Engineering Unstructured Data 57

Snowflake

NOVEMBER 11, 2024

At BUILD 2024, we announced several enhancements and innovations designed to help you build and manage your data architecture on your terms. Ingest data more efficiently and manage costs For data managed by Snowflake, we are introducing features that help you access data easily and cost-effectively.

Data Architecture 78

Data Architecture Architecture Data Lake Kafka 78

Monte Carlo

FEBRUARY 12, 2024

Today, this first-party data mostly lives in two types of data repositories. If it is structured data then it’s often stored in a table within a modern database, data warehouse or lakehouse. If it’s unstructured data, then it’s often stored as a vector in a namespace within a vector database.

Database 72

Database Unstructured Data Data Pipeline Metadata 72

Snowflake

JUNE 5, 2024

It provides access to industry-leading large language models (LLMs), enabling users to easily build and deploy AI-powered applications. By using Cortex, enterprises can bring AI directly to the governed data to quickly extend access and governance policies to the models. Our state-of-the-art hybrid search enables better results.

Coding 91

Coding Building Management Government 91

Snowflake

JULY 25, 2024

Snowflake Cortex Search, a fully managed search service for documents and other unstructured data, is now in public preview. Solving the challenges ofbuilding high-quality RAG applications From the beginning, Snowflake’s mission has been to empower customers to extract more value from their data.

Unstructured Data 52

Unstructured Data Metadata Government Database 52

Snowflake

NOVEMBER 2, 2023

For example, customers who need a centralized store of data in large volume and variety – including JSON, text files, documents, images, and video – have built their data lake with Snowflake. Rather than defining schema upfront, a user can decide which data and schema they need for their use case.

Data Lake 95

Data Lake Data Warehouse Cloud Unstructured Data 95

Snowflake

OCTOBER 26, 2023

But while the potential is theoretically limitless, there are a number of data challenges and risks HCLS executives need to be aware of when using AI that can create new content. Here’s how the right data strategy can help you get past the hazards and hurdles to implementing gen AI.

Healthcare 87

Healthcare Unstructured Data High Quality Data Medical 87

Data Engineering Weekly

JULY 21, 2024

link] Manuel Faysse: ColPali - Efficient Document Retrieval with Vision Language Models 👀 80% of enterprise data exists in difficult-to-use formats like HTML, PDF, CSV, PNG, PPTX, and more. Vimeo discusses its Retrieval-Augmented Generation (RAG) system design for building a knowledge management system.

Data Engineering 117

Data Engineering Data Engineer Engineering Generalist 117

Snowflake

APRIL 10, 2023

semantha goes beyond simply comparing text to drive document-driven processes—it understands the meaning within words in more than 50 languages simultaneously. We transform unstructured data, such as text, images, and videos, into semantic fingerprints. There is no way to analyze all the documents manually.

Unstructured Data 59

Unstructured Data Manufacturing Insurance Government 59

RandomTrees

SEPTEMBER 17, 2024

Understanding the Object Hierarchy in Metastore Identifying the Admin Roles in Unity Catalog Unveiling Data Lineage in Unity Catalog: Capture and Visualize Simplifying Data Access using Delta Sharing 1. Improved Data Discovery The tagging and documentation features in Unity Catalog facilitate better data discovery.

Data Governance 52

Data Governance Government Metadata Machine Learning 52

Snowflake

SEPTEMBER 7, 2023

We are excited to announce the public preview of External Access, which enables customers to reach external endpoints from Snowpark seamlessly and securely. With this announcement, External Access is in public preview on Amazon Web Services (AWS) regions.

Amazon Web Services 119

Amazon Web Services AWS Government Python 119

Snowflake

JUNE 13, 2024

Bringing in batch and streaming data efficiently and cost-effectively Ingest and transform batch or streaming data in <10 seconds: Use COPY for batch ingestion, Snowpipe to auto-ingest files, or bring in row-set data with single-digit latency using Snowpipe Streaming.

Data Ingestion 91

Data Ingestion MySQL PostgreSQL Data Pipeline 91

Precisely

SEPTEMBER 6, 2023

The Rise of Unstructured Data Governing structured data is relatively easy. It’s a fairly simple proposition to define the attributes of the data and detect records that fail to meet expectations. The same does not hold true for unstructured data. Unstructured data contains many quality dimensions.

Data Governance 52

Data Governance Big Data Government Unstructured Data 52

Snowflake

JUNE 28, 2023

To make it even easier and secure for customers to take advantage of leading LLMs, Snowpark Container Services can be used as part of a Snowflake Native App , so customers will be able to get direct access to leading LLMs via the Snowflake Marketplace and installed to run entirely in their Snowflake accounts. See it in action here.

Pipeline-centric 75

Pipeline-centric Unstructured Data Data Government 75

Cloudera

NOVEMBER 14, 2023

Of the many things one might take for granted, access to banking and financial services may not immediately come to mind. billion adults worldwide who do not have access to formal financial services, it is very real and presents massive challenges to driving economic development and poverty reduction.

Banking 73

Banking Education Unstructured Data Algorithm 73

AltexSoft

JUNE 26, 2023

Data collection revolves around gathering raw data from various sources, with the objective of using it for analysis and decision-making. It includes manual data entries, online surveys, extracting information from documents and databases, capturing signals from sensors, and more.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Snowflake

MAY 9, 2024

It started when one capable model suited for text gained mainstream attention, and now, less than 18 months later, there is a long list of commercial and open-source gen AI models are now available, alongside new multimodal models that also understand images and other unstructured data. Help me solve the problem that I have.

Unstructured Data 97

Unstructured Data Manufacturing Retail Data Warehouse 97

Workfall

MARCH 21, 2023

SurrealDB is a serverless document-graph web database that is flexible, developer-friendly, and fully ACID transactional. SurrealDB claims to be the ultimate cloud database for all types of applications, according to the documentation. This means that users can only see or edit the data to which they have been granted access.

PostgreSQL 68

PostgreSQL NoSQL Database Unstructured Data 68

Cloudera

JUNE 12, 2024

Additionally, AI and robotic process automation (RPA) improve operational efficiency by automating repetitive tasks like data entry, document processing, and report generation. This includes robust encryption, stringent access controls and advanced anonymization techniques to ensure financial data remains secure.

Finance 76

Finance Portfolio Government Unstructured Data 76

Towards Data Science

APRIL 6, 2023

Data types : Anomaly detection looks different depending on if the data is structured, semi-structured, or unstructured, so it’s important to know what you’re working with. When it comes to detecting anomalies in unstructured data (e.g., What does each column represent? How are they queried or transformed?

Unstructured Data 78

Unstructured Data Metadata Data Coding 78

Cloudera

NOVEMBER 25, 2020

The challenges Matthew and his team are facing are mainly about access to a multitude of data sets, of various types and sources, with ease and ad-hoc, and their ability to deliver data-driven and confident outcomes. . Most of their research data is unstructured and has a lot of variety. Challenges Ahead.

Data Warehouse 59

Data Warehouse Unstructured Data Medical Pharmaceutical 59

Knowledge Hut

DECEMBER 26, 2023

In the twenty-first century, data science is regarded as a profitable career. It is simply the study of mathematics, statistics, and computer science to extract information from structured and unstructured data. Data science, which solves problems by connecting relevant data for later use, aids these emerging technologies.

Data Science 52

Data Science Unstructured Data Medical Healthcare 52

Knowledge Hut

NOVEMBER 3, 2023

MongoDB is a NoSQL database that’s been making rounds in the data science community. MongoDB’s unique architecture and features have secured it a place uniquely in data scientists’ toolboxes globally. Let us see where MongoDB for Data Science can help you.

MongoDB 52

MongoDB Data Science NoSQL ETL Tools 52

Knowledge Hut

APRIL 23, 2024

They also facilitate historical analysis, as they store long-term data records that can be used for trend analysis, forecasting, and decision-making. Big Data In contrast, big data encompasses the vast amounts of both structured and unstructured data that organizations generate on a daily basis.

Data Warehouse 52

Data Warehouse Big Data Unstructured Data Hadoop 52

Knowledge Hut

APRIL 23, 2024

This guide will help you comprehend big data 4 characteristics to understand all the containing Vs! Volume: Quantity vs Accessibility Volume is the first of the four V's in big data and pertains to the size or magnitude of data being generated, collected, and stored. Customer data come in numerous formats.

Big Data 52

Big Data Media Datasets Unstructured Data 52

ProjectPro

FEBRUARY 8, 2023

AWS Glue Architecture and Components Source: AWS Glue Documentation AWS Glue Data Catalog Data Catalog is a massively scalable grouping of tables into databases. By using AWS Glue Data Catalog, multiple systems can store and access metadata to manage data in data silos. doesn't match the classifier.

AWS 98

AWS Scala Metadata Data Lake 98

Knowledge Hut

MAY 23, 2024

Data science professionals are scattered across various industries. This data science tool helps in digital marketing & the web admin can easily access, visualize, and analyze the website traffic, data, etc., A lot of MNCs and Fortune 500 companies are utilizing this tool for statistical modeling and data analysis.

Data Science 52

Data Science MongoDB Programming Language Hadoop 52

DoorDash Engineering

APRIL 26, 2023

Extraction of structured information Another strength of Generative AI is to understand unstructured data and parse it into a more structured format. Enhancement of employee productivity Generative AI can be used to accelerate DoorDash employees’ productivity by automating tasks such as SQL writing, and document drafting.

Food 98

Food Unstructured Data Deep Learning SQL 98

Knowledge Hut

JULY 24, 2023

These databases use RAM-based data storage, which offers quicker access and response times than disk-based storage. Multi-model Databases Another innovative solution that supports many data models, including document, graph, and key-value stores, is multi-model databases.

Database 52

Database NoSQL Management Relational Database 52

Monte Carlo

AUGUST 25, 2023

With pre-built functionalities and robust SQL support, data warehouses are tailor-made to enable swift, actionable querying for data analytics teams working primarily with structured data. This is particularly useful to data scientists and engineers as it provides more control over their calculations. Or maybe both.)

Data Lake 52

Data Lake Data Warehouse Unstructured Data Raw Data 52

Rockset

JUNE 7, 2022

On the other hand, non-relational databases (commonly referred to as NoSQL databases) are flexible databases for big data and real-time web applications. These databases were born out of necessity for storing large amounts of unstructured data. It is optimized for low latency, high throughput and high availability.

MongoDB 52

MongoDB NoSQL Relational Database Non-relational Database 52

Data Engineering Weekly

MARCH 3, 2024

This approach led to a successful expansion of Copilot access across the engineering team, resulting in a significant increase in productivity and adoption, demonstrating a commitment to enhancing developer experience while maintaining safety and security standards.

Data Engineering 67

Data Engineering Data Engineer Pipeline-centric Engineering 67

Precisely

APRIL 30, 2024

These include: Structured data dependence: RPA solutions thrive on well-organized, predictable data. It struggles with unstructured data like emails, scanned documents, or free-form text. Security considerations: RPA bots often require access to various systems and data.

Unstructured Data 59

Unstructured Data Government Data Validation Programming 59